Fractional cointegration and futures hedging

This article examines the performance of various hedge ratios estimated from different econometric models: The FIEC model is introduced as a new model for estimating the hedge ratio. Utilized in this study are NSA futures data, along with the ARFIMA-GARCH approach, the EC model, and the VAR model. Our analysis identifies the prevalence of a fractional cointegration relationship. The effects of incorporating such a relationship into futures hedging are investigated, as is the relative performance of various models with respect to different hedge horizons. Findings include: (i) Incorporation of conditional heteroskedasticity improves hedging performance; (ii) the hedge ratio of the EC model is consistently larger than that of the FIEC model, with the EC providing better post-sample hedging performance in the return–risk context; (iii) the EC hedging strategy (for longer hedge horizons of ten days or more) incorporating conditional heteroskedasticty is the dominant strategy; (iv) incorporating the fractional cointegration relationship does not improve the hedging performance over the EC model; (v) the conventional regression method provides the worst hedging outcomes for hedge horizons of five days or more. Whether these results (based on the NSA index) can be generalized to other cases is proposed as a topic for further research. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 457–474, 1999     

Aggregate Australian Takeovers: A Review of Markov Regime Switching Models

This article reviews the case of modeling merger waves in the Australian market for the period 1972–2004. Three Markov switching models are examined, the Gaussian AR(1), Poisson AR(1), and State‐Space autoregressive moving average (ARMA) (1,1), to find which gives the best fit. The State‐Space Markov switching ARMA(1,1) model is found to be the best for describing Australian takeover activity as estimation results based on it have a lower Bayesian information criterion score than the other two models. Each model's ability to predict a ‘wave’ is then tested by including its estimated probability in a macroeconomic model to explain merger activity. The State‐Space model also performs better because the inclusion of its estimated probability substantially increases the explanatory power of the regression model (measured by the regression adjusted R²). In addition, it predicted a takeover wave in 2009, which was closer to the actual incidents of takeover activity in the market at that time than the predictions of the other two models. The results are robust when the measure of takeover activity is changed from the number of takeover bids to the proportion of takeover bids relatively to the number of exchange‐listed companies. JEL classification: G34, C32.     

International ambidexterity and firm performance in small emerging economies

Conventional IB theories stress the importance and implications of a firm's exploitative strategy. However, the unprecedented competitive nature of contemporary business necessitates firm “ambidexterity” — the simultaneous execution of exploitation and exploration activities. Using balanced panel data of 207 Taiwanese firms spanning six years, this research examines the effects of international ambidexterity on firm performance. Findings reveal that ambidexterity promotes a firm's performance. For firms from small emerging economies, international ambidexterity is highly vulnerable to environmental complexity and sensitive to previous international experience and the firm's capability to conduct international business. These factors significantly moderate firm performance.     

Estimating the optimal hedge ratio with focus information criterion

In recent years, the error‐correction model without lags has been used in estimating the minimum‐variance hedge ratio. This article proposes the use of the same error‐correction model, but with lags in spot and futures returns in estimating the hedge ratio. In choosing the lag structure, use of the Akaike information criterion (AIC) and recently proposed focus information criterion (FIC) by G. Claeskens and N. L. Hjort (2003) is suggested. The proposed methods are applied to 24 different futures contracts. Even though the FIC hedge ratio is expected to perform better in terms of mean‐squared error, the AIC hedge ratio is found to perform as well as the FIC and better than the simple hedge ratios in terms of hedging effectiveness. © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:1011– 1024, 2005     

Spot‐futures spread,time‐varying correlation,and hedging with currency futures

This article investigates the effects of the spot‐futures spread on the return and risk structure in currency markets. With the use of a bivariate dynamic conditional correlation GARCH framework, evidence is found of asymmetric effects of positive and negative spreads on the return and the risk structure of spot and futures markets. The implications of the asymmetric effects on futures hedging are examined, and the performance of hedging strategies generated from a model incorporating asymmetric effects is compared with several alternative models. The in‐sample comparison results indicate that the asymmetric effect model provides the best hedging strategy for all currency markets examined, except for the Canadian dollar. Out‐of‐sample comparisons suggest that the asymmetric effect model provides the best strategy for the Australian dollar, the British pound, the deutsche mark, and the Swiss franc markets, and the symmetric effect model provides a better strategy than the asymmetric effect model in the Canadian dollar and the Japanese yen. The worst performance is given by the naïve hedging strategy for both in‐sample and out‐of‐sample comparisons in all currency markets examined. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:1019–1038, 2006     

The Sicilian MUOS Ground Station Conflict: On US Geopolitics in the Mediterranean and Geographies of Resistance

This paper analyses the alternative territorialities that characterise the conflict on the installation of a US military MUOS ground station in Sicily (Italy). On the one hand, the proponents see territory from a techno-centric vision as a site of strategic importance for the global politics of securitisation since it serves the optimisation of the US military ‘system of systems’. On the other hand, the No-MUOS mobilisation resists this image of territory by claiming it as a place of everyday life, and opposes hegemonic territorialisation through the manipulation of an ensemble of discursive and practical mediators within different spheres of action. The local conflict around a radar infrastructure evolves into a clash between different logics of territorial organisation: a conflict mostly concerning the control over spatial borders, knowledge production, and imaginary circulation.     

An Empirical Study of OEM in Taiwan's Apparel Industry

Abstract

This paper has examined the effectiveness of the original equipment manufacturing (OEM) system in Taiwan's apparel industry from the perspective of international competitiveness. For that purpose, this study uses the following three definitions as the dependent variables in the empirical analyzes: namely, the ratio of apparel's export value to real gross domestic product (GDP); apparel's export value per unit of labor cost; and trade specialization index of Taiwan's apparel industry. The indices constructed for statistical analysis in this study illustrate clearly that international competitiveness of Taiwan's apparel industry has deteriorated from 1989 to 2005. In addition, in order to clarify those factors that have influenced the fall of international competitiveness, this study identifies three important factors—namely, wage, labor productivity, and the real effective exchange rate (REER)—and four structural and policy dummies, and then conducted multiple regressions to clarify their statistical relations with each of the dependent variable. The analytical findings show that the Taiwanese apparel industry has lost its attractiveness as an OEM production base because of the rise of wages and the fall of labor productivity. In addition, our findings show that the appreciation of the New Taiwan Dollar (NTD) in terms of REER does not influence the movement of international competitiveness in Taiwan's apparel industry.